Given the shape of an array, an ndindex
instance iterates over the N-dimensional index of the array. At each iteration a tuple of indices is returned, the last dimension is iterated over first.
The size of each dimension of the array can be passed as individual parameters or as the elements of a tuple.
An N-dimensional iterator object to index arrays.
Dimensions as individual arguments
>>> for index in np.ndindex(3, 2, 1):
... print(index) (0, 0, 0) (0, 1, 0) (1, 0, 0) (1, 1, 0) (2, 0, 0) (2, 1, 0)
Same dimensions - but in a tuple (3, 2, 1)
>>> for index in np.ndindex((3, 2, 1)):See :
... print(index) (0, 0, 0) (0, 1, 0) (1, 0, 0) (1, 1, 0) (2, 0, 0) (2, 1, 0)
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.take_along_axis
numpy.take
numpy.apply_along_axis
numpy.ndindex
numpy.put_along_axis
numpy.ma.extras.apply_along_axis
numpy.ndenumerate
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